How LLMs Learn
A Brief Introduction to Large Language Models (LLMs)
Good morning!
A lot of people—even experienced professionals—still assume that AI models like GPT are hand-crafted by engineers, with human-programmed rules and logic.
That was true for older “symbolic AI” systems. But that’s not how today’s large language models (LLMs) work.
This confusion leads to two key issues:
People underestimate LLMs and don’t leverage them to their full potential.
Or they overestimate them, relying on them in ways that lead to mistakes, hallucinations, or poor user experience.
In the first free video lesson of our new course, I explain how LLMs actually function—not with dense math or model diagrams, but in a clear, practical way that helps you use them more effectively.
You’ll learn:
What LLMs really do under the hood when generating language
Why “embeddings” matter and how they shape what the model knows
How training shapes model behavior—and why that impacts what you can build
📺 Here’s the video if you’d like to check it out (or the written article here):
🚀 Ready to actually use AI at work—without needing to code?
If you’re a business professional who wants to lead with AI instead of watching from the sidelines, this course is for you. You’ll learn how to:
Use tools like ChatGPT, Claude, Gemini, and Perplexity effectively
Master prompting, reasoning, and no-code workflows
Automate research, writing, analysis, and team tasks
Create custom AI solutions that save hours every week
Drive smart, strategic AI adoption in your team or company
👉 Join the July cohort for our kick-off call of the “AI for Business Professionals” course here: https://academy.towardsai.net/courses/ai-business-professionals?ref=1f9b29
No technical background needed. Just real-world AI skills designed to boost your output, leadership, and career.